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» Improving Bag-of-Features for Large Scale Image Search
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CEC
2008
IEEE
15 years 4 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
ISI
2008
Springer
14 years 9 months ago
Improving quality and performance of schema matching in large scale
ABSTRACT. Schema matching is a crucial task to gather information of the same domain. However, this process is still largely performed manually or semi-automatically, discouraging ...
Fabien Duchateau, Zohra Bellahsene, Mathieu Roche
INFORMATICALT
2010
101views more  INFORMATICALT 2010»
14 years 8 months ago
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
Chen-Sung Chang
GCB
1997
Springer
77views Biometrics» more  GCB 1997»
15 years 1 months ago
Statistics of large scale sequence searching
Motivation: Database search programs such as FASTA, BLAST or a rigorous Smith–Waterman algorithm produce lists of database entries, which are assumed to be related to the query....
Rainer Spang, Martin Vingron
PAMI
2010
184views more  PAMI 2010»
14 years 8 months ago
Accurate Image Search Using the Contextual Dissimilarity Measure
— This paper introduces the contextual dissimilarity measure which significantly improves the accuracy of bag-offeatures based image search. Our measure takes into account the l...
Herve Jegou, Cordelia Schmid, Hedi Harzallah, Jako...